Sequence Generalization
Sequence Generalization is a theoretical construct in sequence learning that refers to the ability of a model or system to apply learned sequential patterns to novel, unseen sequences by capturing underlying structural regularities rather than memorizing specific instances.
63
Publications
3.2K
Citations
152
Authors
83
Institutions
Publications per year
2017–2026
29
Parents
63
An Analysis of Generalization in the XCS Classifier System
Pier Luca Lanzi · Evolutionary Computation · 1999 · 331 citations
Generalization of serial learning in the pigeon
Richard O. Straub, H. S. Terrace · Animal Learning & Behavior · 1981 · 190 citations · Full text
1–5 of 63
152
6
h-index
5
h-index
2
h-index
2
h-index
2
h-index
1–5 of 152
83
Meta (Israel)
Tel Aviv, Israel
6 h-index
10 publications
538 citations
University of California, Irvine
Irvine, United States
2 h-index
3 publications
49 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
3 publications
86 citations
Columbia University
New York, United States
2 h-index
2 publications
365 citations
New York University
New York, United States
2 h-index
2 publications
117 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
48 citations
Yale University
New Haven, United States
2 h-index
3 publications
139 citations
University of Liège
Liège, Belgium
2 h-index
2 publications
93 citations
1–8 of 83
Repository · 10 publications · 283 citations
10
h-index
4 publications · 419 citations
4
h-index
2 publications · 90 citations
2
h-index
2 publications · 132 citations
2
h-index
2 publications · 60 citations
2
h-index
1–5